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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A decision support system for automated identification of sleep stages from single-channel EEG signals
Ahnaf Rashik Hassan, Abdülhamit Subaşı
Knowledge-Based Systems (2017) Vol. 128, pp. 115-124
Closed Access | Times Cited: 210

Showing 1-25 of 210 citing articles:

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG
Akara Supratak, Hao Dong, Chao Wu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 25, Iss. 11, pp. 1998-2008
Open Access | Times Cited: 1038
Ensemble SVM Method for Automatic Sleep Stage Classification
Emina Aličković, Abdülhamit Subaşı
IEEE Transactions on Instrumentation and Measurement (2018) Vol. 67, Iss. 6, pp. 1258-1265
Open Access | Times Cited: 262
A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals
Özal Yıldırım, Ulaş Baran Baloğlu, U. Rajendra Acharya
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 4, pp. 599-599
Open Access | Times Cited: 218
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG
Akara Supratak, Yike Guo
(2020), pp. 641-644
Closed Access | Times Cited: 151
Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement
Dihong Jiang, Yanan Lu, Yu Ma, et al.
Expert Systems with Applications (2018) Vol. 121, pp. 188-203
Closed Access | Times Cited: 153
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach
Yang Li, Wei-Gang Cui, Hui Huang, et al.
Knowledge-Based Systems (2018) Vol. 164, pp. 96-106
Closed Access | Times Cited: 138
A review of automated sleep stage scoring based on physiological signals for the new millennia
Oliver Faust, Hajar Razaghi, Ragab Barika, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 176, pp. 81-91
Open Access | Times Cited: 138
Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network
Pankaj Jadhav, Gaurav Rajguru, Debabrata Datta, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 1, pp. 494-504
Closed Access | Times Cited: 136
Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise
Ahnaf Rashik Hassan, Abdülhamit Subaşı, Yanchun Zhang
Knowledge-Based Systems (2019) Vol. 191, pp. 105333-105333
Closed Access | Times Cited: 130
Convolution- and Attention-Based Neural Network for Automated Sleep Stage Classification
Tianqi Zhu, Wei Luo, Feng Yu
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 11, pp. 4152-4152
Open Access | Times Cited: 113
Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach
Lal Hussain
Cognitive Neurodynamics (2018) Vol. 12, Iss. 3, pp. 271-294
Open Access | Times Cited: 95
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 6, pp. 1949-1963
Open Access | Times Cited: 95
Motor imagery tasks-based EEG signals classification using tunable-Q wavelet transform
Sachin Taran, Varun Bajaj
Neural Computing and Applications (2018) Vol. 31, Iss. 11, pp. 6925-6932
Closed Access | Times Cited: 92
A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal
Saman Seifpour, Hamid Niknazar, Mohammad Mikaeili, et al.
Expert Systems with Applications (2018) Vol. 104, pp. 277-293
Closed Access | Times Cited: 89
EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102591-102591
Open Access | Times Cited: 87
Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal
Şule Yücelbaş, Cüneyt Yücelbaş, Gülay Tezel, et al.
Expert Systems with Applications (2018) Vol. 102, pp. 193-206
Closed Access | Times Cited: 86
A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning
Chenglu Sun, Chen Chen, Wei Li, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 5, pp. 1351-1366
Closed Access | Times Cited: 79
Driving Fatigue Classification Based on Fusion Entropy Analysis Combining EOG and EEG
Hongtao Wang, C. S. Wu, Ting Li, et al.
IEEE Access (2019) Vol. 7, pp. 61975-61986
Open Access | Times Cited: 75
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring
Shreyasi Pathak, Changqing Lu, Sunil B. Nagaraj, et al.
Artificial Intelligence in Medicine (2021) Vol. 114, pp. 102038-102038
Open Access | Times Cited: 58
MaskSleepNet: A Cross-Modality Adaptation Neural Network for Heterogeneous Signals Processing in Sleep Staging
Hangyu Zhu, Wei Zhou, Cong Fu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 5, pp. 2353-2364
Closed Access | Times Cited: 23
GRU-powered sleep stage classification with permutation-based EEG channel selection
Luis Alfredo Moctezuma, Yoko Suzuki, Junya Furuki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Sleep Bruxism Detection Using Decision Tree Method by the Combination of C4-P4 and C4-A1 Channels of Scalp EEG
Md Belal Bin Heyat, Dakun Lai, Faez Iqbal Khan, et al.
IEEE Access (2019) Vol. 7, pp. 102542-102553
Open Access | Times Cited: 71
A Two-Stage Neural Network for Sleep Stage Classification Based on Feature Learning, Sequence Learning, and Data Augmentation
Chenglu Sun, Jiahao Fan, Chen Chen, et al.
IEEE Access (2019) Vol. 7, pp. 109386-109397
Open Access | Times Cited: 68
Prognosis of Sleep Bruxism Using Power Spectral Density Approach Applied on EEG Signal of Both EMG1-EMG2 and ECG1-ECG2 Channels
Dakun Lai, Md Belal Bin Heyat, Faez Iqbal Khan, et al.
IEEE Access (2019) Vol. 7, pp. 82553-82562
Open Access | Times Cited: 63
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals
Oliver Faust, Ragab Barika, Alex Shenfield, et al.
Knowledge-Based Systems (2020) Vol. 212, pp. 106591-106591
Open Access | Times Cited: 59
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